Deep Sky AI
Deep Sky AI, an Australian company founded in 2023 by airline pilot and software engineer Samuel Chandra, builds tools that cut through NOTAMs, manuals and operational data for aircraft operators.
Self-funded, with up to ten staff, it sells a rules-driven NOTAM filter that reduces hundreds of notices to those relevant to a flight, and a knowledge assistant that answers questions from an operator's own manuals and ICAO, FAA, EASA and CASA rules. No customers are named.
No verified deployments yet
Deep Sky AI is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.
Products & Solutions
2 productsDeepsky NOTAM Filtering
A pilot-facing NOTAM briefing application that applies rules-driven processing to reduce hundreds or thousands of NOTAMs applicable to a flight down to the pertinent handful. Transforms a manual and variable process into a highly reliable, rules-driven process.
Addresses the NOTAM overload problem for aircraft operators by replacing manual, inconsistent NOTAM review with systematic, rules-driven filtering that saves frontline staff time and reduces operational risk from missed or misread NOTAMs.
- Rules-driven NOTAM filtering and prioritisation
- Reduces large NOTAM sets to a pertinent subset per flight
- Same rules applied every briefing for consistency and audit trail
- Pilot-facing briefing interface
2 more features
- Part of the larger deepsky AIM processing suite
- NOTAM Q-code parsing and operational significance assessment
Technical specifications (3)
- Rules engine for NOTAM interpretation
- Integration with NOTAM databases via official sources
- Backend part of a modular AIM suite
Deepsky Knowledge Assistant
A precision document retrieval system for aviation operational documents. Uses retrieval-augmented generation (RAG) and hybrid search to answer natural language questions backed by the operator's own manuals, policies, and documents, as well as publications and rules from regulators and manufacturers (ICAO, FAA, EASA, CASA).
Reduces the time aviation professionals spend searching through manuals, regulatory documents, and operational publications to find authoritative answers, replacing variable manual search with consistent, auditable precision retrieval.
- Natural language question answering for aviation documents
- RAG and hybrid search over operator manuals, regulatory publications, and manufacturer documents
- Covers ICAO, FAA, EASA, CASA documents and operator-specific content
- Consistent precision retrieval every time - same query yields same sourced answer
1 more feature
- Part of the broader deepsky AIM processing suite
Technical specifications (2)
- Retrieval method: RAG (Retrieval-Augmented Generation) and hybrid search
- Document coverage: ICAO, FAA, EASA, CASA publications plus operator manuals
Register notes
Notes held in the Aerostack register. Aerostack has not independently verified them.
- Aviation information overload is an industry-wide safety risk, pilots encounter hundreds of NOTAMs per flight
- Traditional AIM software focuses on data delivery, not analysis, triage, or post-processing
- Deep Sky AI uniquely covers all aviation operational information: manuals, procedures, regulatory content, and operational updates
- Lido/Lufthansa Systems, preflight briefing and NOTAM tools
- Jeppesen (Boeing), document and chart delivery
- Traditional EFB vendors, static document delivery without intelligent retrieval
- Rules-driven NOTAM processing (not AI guesswork, deterministic, auditable)
- Founded by an active airline pilot, built from operational frustration, not from outside the industry
- AI Systems Evaluation service is unique: enables operators to safely adopt AI with regulatory-grade documentation
Earlier listing summary (3 groups)
Summary text from the earlier Aerostack listing. Figures in it are not independently verified.
- Rules-driven NOTAM processing: same logic applied every briefing, eliminating human variability
- Knowledge Assistant: precision retrieval across operator manuals, ICAO, FAA, EASA, CASA documents
- AI Agent Skills: modular packages enabling AI assistants to handle aviation data tasks
- Follows open llms.txt standard for AI-readable documentation
- Founded by an airline pilot with 6+ years flight operations management experience
- NOTAM Filtering: Shrinks hundreds of NOTAMs to the pertinent handful for any given flight
- Knowledge Assistant: Answers backed by operator manuals plus all regulatory publications
- AI Systems Evaluation: Independent safety and reliability documentation for aviation regulators
- Reduces repetitive workload for frontline aviation staff
- Shrinks organisational risk from information dispersion
- Produces auditable, systematised processes accepted by aviation regulators
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.